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I have two numpy arrays:
x = np.array([-1, 0, 1, 2]) y = np.array([-2, -1, 0, 1]) Is there a way to merge these arrays together like tupples:
array = [(-1, -2), (0, -1), (1, 0), (2, 1)] 
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Use np. vstack() to concatenate two arrays vertically Call np. vstack(array1, array2) to concatenate array1 and array2 vertically.
NumPy: vstack() function The vstack() function is used to stack arrays in sequence vertically (row wise). This is equivalent to concatenation along the first axis after 1-D arrays of shape (N,) have been reshaped to (1,N). The arrays must have the same shape along all but the first axis.
Use numpy. concatenate() to merge the content of two or multiple arrays into a single array. This function takes several arguments along with the NumPy arrays to concatenate and returns a Numpy array ndarray. Note that this method also takes axis as another argument, when not specified it defaults to 0.
hstack() function. The hstack() function is used to stack arrays in sequence horizontally (column wise). This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis.
In [469]: x = np.array([-1, 0, 1, 2]) In [470]: y = np.array([-2, -1, 0, 1]) join them into 2d array:
In [471]: np.array((x,y)) Out[471]: array([[-1, 0, 1, 2], [-2, -1, 0, 1]]) transpose that array:
In [472]: np.array((x,y)).T Out[472]: array([[-1, -2], [ 0, -1], [ 1, 0], [ 2, 1]]) or use the standard Python zip - this treats the arrays as lists
In [474]: zip(x,y) # list(zip in py3 Out[474]: [(-1, -2), (0, -1), (1, 0), (2, 1)] If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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